Universität Wien FIND

390020 DK PhD-M: Management Decision Making (2019W)

Prüfungsimmanente Lehrveranstaltung

service email address: opim.bda@univie.ac.at

An/Abmeldung

Details

max. 15 Teilnehmer*innen
Sprache: Englisch

Lehrende

Termine (iCal) - nächster Termin ist mit N markiert

Montag 14.10. 16:45 - 18:15 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
Montag 21.10. 16:45 - 18:15 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
Montag 28.10. 16:45 - 18:15 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
Montag 04.11. 16:45 - 18:15 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
Montag 11.11. 16:45 - 18:15 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
Montag 02.12. 16:45 - 18:15 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
Montag 09.12. 15:00 - 18:15 Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Stock
Montag 16.12. 16:45 - 18:15 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
Montag 13.01. 16:45 - 18:15 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
Montag 20.01. 16:45 - 18:15 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
Montag 27.01. 16:45 - 18:15 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock

Information

Ziele, Inhalte und Methode der Lehrveranstaltung

The course covers main areas of decision theory at an advanced level. It is structured into the following seven modules

1 Introduction to preference modeling: Relations and scales
2 Multidimensional evaluation Dominance and efficiency
3 Decisions under risk: Introduction to expected utility theory
4 Applications and extensions to expected utility theory
5 Dynamic decision problems and the value of information
6 Multicriteria decisions: Additive models
7 Decisions under incomplete information and sensitivity analysis

Art der Leistungskontrolle und erlaubte Hilfsmittel

Classroom work and exercises (20%)
Final exam (40%)
Research project or survey paper (at the student's choice) (40%)

Mindestanforderungen und Beurteilungsmaßstab

As a PhD course, this course goes beyond a practical knowledge of methods of decision analysis. Students should be able to understand the inherent logic of models of decision analysis and their relation to fundamental assumptions about rationality as well as the inherent limitations implied by these assumptions. This should enable students to select and apply the appropriate methods for their own research work.

Prüfungsstoff

The course uses a blend of e-learning based self instruction and classroom teaching. Teaching notes and training material are provided in advance on the e-learning platform, students are expected to study this material before class. Classroom lectures and discussions will be used to strengthen the students' understanding of the material.

Literatur

Lecture notes containing references will be available on Moodle

Zuordnung im Vorlesungsverzeichnis

Letzte Änderung: Mo 07.10.2019 17:09